At a Glance
- Tasks: Create cutting-edge datasets and evaluate AI-generated code for efficiency and reliability.
- Company: Join Turing, a leading research accelerator for frontier AI labs.
- Benefits: Flexible hours, remote work, and potential for contract extensions.
- Other info: Collaborative environment with opportunities for professional growth.
- Why this job: Make an impact in AI while working with top-tier engineers and researchers.
- Qualifications: 3+ years of software engineering experience, strong Python and JavaScript skills.
The predicted salary is between 60000 - 80000 £ per year.
About Us: Based in San Francisco, California, Turing is the world's leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialise in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organisations. We especially welcome graduates from leading programmes such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree.
Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions.
What Does a Typical Day Look Like?
- Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go.
- Evaluate and refine AI-generated code across backend and frontend contexts to ensure that it is efficient, scalable, and reliable.
- Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks.
- Build agents that can verify the quality of the code and identify error patterns across full-stack applications.
- Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them.
- Design verification mechanisms that can automatically verify a solution to a software engineering task.
Required Skills:
- Several years of software engineering experience (3 years or more).
- Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases.
- Experience deploying scalable, production-grade software using modern languages and tools.
- Deep understanding of software architecture, design, development, debugging, and code quality/review assessment.
- Excellent oral and written communication skills for clear, structured evaluation rationales.
Engagement Details:
- Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week.
- Type: Contractor (no medical/paid leave).
- Duration: 1 month (potential extensions based on performance and fit).
- Location: Candidates must be based in the United States.
Evaluation Process: The application process takes 15–30 minutes. Completion of an AI video interview is required. Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile.
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Remote Senior Python Engineer in London employer: Turing
Turing is an exceptional employer for Senior Python Engineers, offering a dynamic remote work environment that fosters innovation and collaboration. With a strong focus on employee growth, Turing provides opportunities to work on cutting-edge AI projects alongside top-tier researchers, ensuring that your contributions have a meaningful impact on the future of technology. The company's commitment to flexibility and a supportive culture makes it an attractive choice for those seeking a rewarding career in the rapidly evolving field of AI.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Senior Python Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or other platforms. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Nail that AI video interview! Prepare by practising common questions and showcasing your coding skills. Remember, it’s all about demonstrating your expertise and passion for the role.
✨Tip Number 3
Show off your projects! Whether it's on GitHub or your personal website, having a portfolio of your work can really set you apart. It’s a great way to demonstrate your skills in Python and JavaScript.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it makes it easier for us to spot your talent!
We think you need these skills to ace Remote Senior Python Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior Python Engineer role. Highlight your experience with Python and JavaScript, and any relevant projects that showcase your skills in building full-stack applications.
Showcase Your Experience:We want to see your journey! Include specific examples of production systems you've built, especially if you've worked at big names like Google or Amazon. This helps us understand your expertise and how you can contribute to our team.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use structured language to explain your skills and experiences, as excellent communication is key for this role. We appreciate straightforwardness!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it makes the process smoother for both of us!
How to prepare for a job interview at Turing
✨Know Your Tech Stack Inside Out
Make sure you’re well-versed in Python and JavaScript, especially React and Node.js. Brush up on your knowledge of C/C++, Java, Rust, and Go too. Be ready to discuss your experience with full-stack applications and how you've tackled challenges in these languages.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your ability to evaluate and refine code. Think of specific examples where you improved efficiency or scalability in a project. This will show that you can not only write code but also enhance it for better performance.
✨Communicate Clearly and Effectively
Since excellent communication skills are a must, practice articulating your thought process. Whether it's during coding challenges or discussing past projects, clarity is key. Use structured reasoning to explain your evaluations and decisions.
✨Familiarise Yourself with AI Concepts
Given the role's focus on AI-driven solutions, brush up on relevant AI concepts and how they apply to software engineering. Be prepared to discuss how you would approach building datasets for training models and what verification mechanisms you might implement.
